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  • Dr Stacey Reinke

    Dr Stacey Reinke

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Associate Professor Stacey Reinke

Associate Dean (Teaching and Learning)

Staff Member Details
Telephone: +61 8 6304 2709
Email: stacey.n.reinke@ecu.edu.au
Campus: Joondalup  
Room: JO19.332  
ORCID iD: https://orcid.org/0000-0002-0758-0330

Stacey is an Associate Professor and Associate Dean (Teaching and Learning) in the School of Science.

Background

Stacey Reinke received her PhD in Biochemistry from the University of Alberta (Canada, 2011) and held a Postdoctoral Fellowship, from the Canadian Institutes of Health Research, at the Karolinska Institute (Sweden) before being recruited to Perth in 2016. During her PhD and subsequent postdoctoral training, Stacey developed considerable expertise in the area of clinical and biomedical metabolomics, including biochemistry, analytical chemistry, large-scale cohort studies, statistics, and data science. She has applied these skills to several biological contexts, including mitochondrial and central energy dysfunction, neonatal asphyxia, neuroinflammation, and respiratory disease. Her current research focus is two-fold: (1) applying metabolomics and systems biology approaches to inform disease mechanisms and biomarker discovery in early-life contexts, and (2) enhancing the field of clinical and biomedical metabolomics through methodological advancement (high quality high-throughput workflows, quality assurance, data analysis).

Professional Memberships

  • Member of the international Metabolomics Society 2015 – present

Awards and Recognition

National and International Awards

  • 2015 – Metabolomics Society Early Career Prize, Metabolomics 2015, San Francisco, USA
  • 2012 – First prize, Student/Postdoctoral Oral Presentations, MetaboMeeting 2012, Manchester, UK

National and International Research Positions

  • Canadian Institutes of Health Research Postdoctoral Fellow, held at the Karolinska Institute (Stockholm, Sweden) 2014 – 2016

Research Areas and Interests

  • Clinical and biomedical metabolomics
  • Systems biology
  • Personalised medicine

Qualifications

  • Graduate Diploma in Education (Tertiary and Workplace), Murdoch University, 2021.
  • Graduate Certificate in Tertiary and Adult Education, Murdoch University, 2019.
  • Doctor of Philosophy, Canada, 2012.
  • Bachelor of Science, Canada, 2005.

Research Outputs

2022

Journal Articles

  • Belhaj, M., Lawler, N., Hawley, J., Broadhurst, D., Hoffman, N., Reinke, S. (2022). Metabolomics reveals mouse plasma metabolite responses to acute exercise and effects of disrupting AMPK-glycogen interactions. Frontiers in Molecular Biosciences, 9(2022), article number 957549. https://doi.org/10.3389/fmolb.2022.957549.
  • Reinke, S., Naz, S., Chaleckis, R., Gallart-Ayala, H., Kolmert, J., Kermani, N., Tiotiu, A., Broadhurst, D., Lundqvist, A., Olsson, H., Strom, M., Wheelock, A., Gómez, C., Ericsson, M., Sousa, A., Riley, R., Bates, S., Scholfield, J., Loza, M., Baribaud, F., Bakke, P., Caruso, M., Chanez, P., Fowler, S., Geiser, T., Howarth, P., Horvath, I., Krug, N., Montuschi, P., Behndig, A., Singer, F., Musial, J., Shaw, D., Dahlén, B., Hu, S., Lasky-Su, J., Sterk, P., Fan Chung, K., Djukanovic, R., Dahlen, S., Adcock, I., Wheelock, C. (2022). Urinary metabotype of severe asthma evidences decreased carnitine metabolism independent of oral corticosteroid treatment in the U-BIOPRED study. European Respiratory Journal, 60(1), article number 2101733. https://doi.org/10.1183/13993003.01733-2021.
  • Jones, J., Reinke, S., Mousavi-Derazmahalleh, M., Palmer, D., Christophersen, C. (2022). Changes to the Gut Microbiome in Young Children Showing Early Behavioral Signs of Autism. Frontiers in Microbiology, 13(28 July 2022), Article number 905901. https://doi.org/10.3389/fmicb.2022.905901.
  • Winder, C., Witting, M., Tugizimana, F., Dunn, W., Reinke, S. (2022). Providing metabolomics education and training: pedagogy and considerations. Metabolomics, 18(12), article number 106. https://doi.org/10.1007/s11306-022-01957-w.
  • Reinke, S., Chaleckis, R., Wheelock, CE. (2022). Metabolomics in pulmonary medicine - extracting the most from your data. European Respiratory Journal, 60(2), article number 2200102. https://doi.org/10.1183/13993003.00102-2022.
  • Read, J., Serralha, M., Mok, D., Holt, B., Cruickshank, M., Karpievitch, Y., Broadhurst, D., Sly, P., Strickland, D., Reinke, S., Holt, P., Bosco, A. (2022). Lipopolysaccharide-induced interferon response networks at birth are predictive of severe viral lower respiratory infections in the first year of life. Frontiers in Immunology, 13(5 August 2022), Article number 876654. https://doi.org/10.3389/fimmu.2022.876654.

2021

Journal Articles

  • Jones, J., Reinke, S., Ali, A., Palmer, D., Christophersen, C. (2021). Fecal sample collection methods and time of day impact microbiome composition and short chain fatty acid concentrations. Scientific Reports, 11(December 2021), Article number 13964. https://doi.org/10.1038/s41598-021-93031-z.

2020

Journal Articles

  • Mendez, K., Broadhurst, D., Reinke, S. (2020). Migrating from partial least squares discriminant analysis to artificial neural networks: a comparison of functionally equivalent visualisation and feature contribution tools using jupyter notebooks. Metabolomics, 16(2), Article number 17. https://doi.org/10.1007/s11306-020-1640-0.

2019

Journal Articles

  • Boyce, M., Lawler, N., Tu, Y., Reinke, S. (2019). Introducing Undergraduate Students to Metabolomics Using Liquid Chromatography–High Resolution Mass Spectrometry Analysis of Horse Blood. Journal of Chemical Education, 96(4), 745-750. https://doi.org/10.1021/acs.jchemed.8b00625.
  • Mendez, K., Broadhurst, D., Reinke, S. (2019). The application of artificial neural networks in metabolomics: a historical perspective. Metabolomics, 15(11), Article Number 142. https://doi.org/10.1007/s11306-019-1608-0.
  • Mendez, K., Reinke, S., Broadhurst, D. (2019). A comparative evaluation of the generalised predictive ability of eight machine learning algorithms across ten clinical metabolomics data sets for binary classification. Metabolomics, 15(12), Article number: 150. https://doi.org/10.1007/s11306-019-1612-4.
  • Mendez, K., Pritchard, L., Reinke, S., Broadhurst, D. (2019). Toward collaborative open data science in metabolomics using Jupyter Notebooks and cloud computing. Metabolomics, 15(10), Article no.125. https://doi.org/10.1007/s11306-019-1588-0.

2018

Journal Articles

  • Reinke, S., Galindo-Prieto, B., Skotare, T., Broadhurst, D., Singhania, A., Horowitz, D., Djukanovic, R., Hinks, T., Geladi, P., Trygg, J., Wheelock, C. (2018). OnPLS-Based Multi-Block Data Integration: A Multivariate Approach to Interrogating Biological Interactions in Asthma. Analytical Chemistry, 90(22), 13400-13408. https://doi.org/10.1021/acs.analchem.8b03205.
  • Broadhurst, D., Goodacre, R., Reinke, S., Kuligowski, J., Wilson, I., Lewis, M., Dunn, W. (2018). Guidelines and considerations for the use of system suitability and quality control samples in mass spectrometry assays applied in untargeted clinical metabolomic studies. Metabolomics, 14(6), article no.72. https://doi.org/10.1007/s11306-018-1367-3.

2017

Journal Articles

  • Naz, S., Kolmert, J., Yang, M., Reinke, S., Kamleh, M., Snowden, S., Heyder, T., Levanen, B., Erle, D., Skold, C., Wheelock, A. (2017). Metabolomics analysis identifies sex-associated metabotypes of oxidative stress and the autotaxin-lysoPA axis in COPD. European Respiratory Journal, 49(6), article no.1602332. https://doi.org/10.1183/13993003.02322-2016.
  • Naz, S., Gallart-Ayala, H., Reinke, S., Mathon, C., Blankley, R., Chaleckis, R., Wheelock, C. (2017). Development of a Liquid Chromatography-High Resolution Mass Spectrometry Metabolomics Method with High Specificity for Metabolite Identification Using All Ion Fragmentation Acquisition. Analytical Chemistry, 89(15), 7933-7942. https://doi.org/10.1021/acs.analchem.7b00925.
  • Reinke, S., Gallart-Ayala, H., Gomez, C., Checa, A., Fauland, A., Naz, S., Kamleh, M., Djukanovic, R., Hinks, T., Wheelock, C. (2017). Metabolomics analysis identifies different metabotypes of asthma severity. European Respiratory Journal, 49(3), 1601740. https://doi.org/10.1183/13993003.01740-2016.

2015

Journal Articles

  • Checa, A., Holm, T., Sjodin, MO., Reinke, S., Alm, J., Scheynius, A., Wheelock, CE. (2015). Lipid mediator profile in vernix caseosa reflects skin barrier development. Scientific Reports, 5(2 November 2015), Article Number: 15740. https://doi.org/10.1038/srep15740.

2013

Journal Articles

  • Reinke, S., Resch, L., Maingat, F., Branton, W., Jackson, AC., Holt, R., Slupsky, C., Marrie, T., Sykes, BD., Power, C. (2013). Metagenomic and metabolomic characterization of rabies encephalitis: New insights into the treatment of an ancient disease. Journal of Infectious Diseases, 207(9), 1451-1456. https://doi.org/10.1093/infdis/jis479.

Research Projects

  • Metabolomics for Asthma Prediction 2 (MAP-2), Perth Children's Hospital, Grant, 2023 ‑ 2024, $243,343.
  • Developing an Early Urinary Diagnostic Test for Childhood Asthma , Department of Health WA, WA Near-miss Awards: Ideas , 2022 ‑ 2023, $100,000.
  • Active lung disease in survivors of preterm birth? Can we treat it?, National Health and Medical Research Council, Project Grants, 2018 ‑ 2022, $79,000.

Research Student Supervision

Current Supervisions

Principal Supervisor

  • Doctor of Philosophy, Metabolomic Epidemiology of Asthma:
Utilizing Electronic Medical Record and Biobank Data to Identify Metabolomics Drivers of Asthma

Completed Supervisions

Associate Supervisor

  • Doctor of Philosphy: Multi-omics analysis of immune-metabolic blood responses of very preterm infants for improving diagnosis of late-onset sepsis
  • Master of Science (Chemistry), Deriving statistical inference from the application of artificial neural networks to clinical metabolomics data
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